Applying data driven decision making to rank vocational and educational training programs with TOPSIS

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Applying data driven decision making to rank vocational and educational training programs with TOPSIS

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	Conejero, José María; Preciado Rodríguez, Juan Carlos; Prieto Ramos, Álvaro; Bas Cerdà, María del Carmen; Bolós Lacave, Vicente
	This document is a artículoDate2021
	In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009-2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
	Conejero, José María Preciado Rodríguez, Juan Carlos Prieto Ramos, Álvaro Bas Cerdà, María del Carmen Bolós Lacave, Vicente 2021 Applying data driven decision making to rank vocational and educational training programs with TOPSIS Decision Support Systems 142 113470
	https://doi.org/10.1016/j.dss.2020.113470

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• 53 - Ciències Económiques [1712]
  

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